Tag: agentic AI safety
Browse our exclusive articles!
Mechanical Conscience: Ensuring Dependable Machine Intelligence
Discover Mechanical Conscience, a novel framework enhancing safety and dependability in collaborative machine intelligence under uncertainty.
Perplexity Differencing Reveals Finetuning in AI Models
Discover how perplexity differencing uncovers finetuning objectives in AI models, enhancing transparency and safety in large language models.
Code World Model Preparedness Report: AI Safety Insights
Explore Meta's Code World Model Preparedness Report assessing AI risks, safety, and open release for advanced code generation and reasoning.
Adversarial Flow Matching: Imperceptible Attacks on Autonomous Driving
Discover Adversarial Flow Matching, a novel gray-box attack method that imperceptibly compromises end-to-end autonomous driving models with high efficiency...
Barry Diller Warns on AGI Risks Despite Trust in Sam Altman
Barry Diller trusts Sam Altman but stresses that trust is irrelevant without strong guardrails for safe AGI development and ethical AI governance.